Furthermore, it is natural to imagine that the client's credit score depends on the number of loans that the client has with approved and rejected statuses but not on the identity of those approved and rejected loans. That is, loans are exchangeable objects. In such a case, it is common to consider that each loan's status independently has its own probabilistic influence on the client's credit score, and the final probabilistic influence is a combination of all these influences [1]}, [2]}. This independence assumption implies exchangeability. Relational models written as DC# programs qualitatively represent these independencies and first-order level CSIs that our FO-CS-LW algorithm aims to exploit for scalability.
